Pinned Repositories
bert-multi-gpu
pretraining bert with multi gpus using horovod
coding
imagenet-transfer.torch
kaggle-nips2017-adversarial_attack
kaggle nips2017 Adversarial Attack
kogpt2_chatbot
kogpt2로 만든 한국어 대화모델
lrcn.torch
ml_finance
PyMLT
Python Machine Learning for Trading
PyTrader
System Trading using Kiwoom OpenAPI+
quant_trading
할수있다 퀀트투자
didw's Repositories
didw/HTS
didw/study
didw/algorithmic-toolbox
didw/ComputerTrainingMeetUp
For training problem solving about computer system, algorithm and so on. And also for gathering information about IT
didw/CS7646
didw/datascience_coursera
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
didw/DeepLearning
didw/DL-TF
Deep Learning using TensorFlow
didw/docker-sample
didw/imagenet-multiGPU.torch
an imagenet example in torch.
didw/inception-v3.torch
Rethinking the Inception Architecture for Computer Vision
didw/learnAlgorithm
didw/LearningSpark
All Resources To Learn Spark
didw/lecture2
didw/lua---ffmpeg
An interface between ffmpeg and Lua/Torch
didw/machine-learning
didw/machineLearningPythonFinance
didw/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
didw/Q_learning
In this project the purpose is to implement and assess Q-Learning. First it test Q-Learning implementation to solve a navigation problem. Then applying Q-Learning to stock trading. QLearner class has been implemented in the file QLearner.py.
didw/robocode
didw/torch
didw/torch-hdf5
Torch interface to HDF5 library
didw/torch7
didw/webserver_sample